Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication

Shiran Dudy, Steven Bedrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.

Original languageEnglish (US)
Title of host publicationACL 2018 - Deep Learning Approaches for Low-Resource Natural Language Processing, DeepLo 2018 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages25-32
Number of pages8
ISBN (Electronic)9781948087476
StatePublished - 2018
EventACL 2018 Workshop on Deep Learning Approaches for Low-Resource Natural Language Porcessing, DeepLo 2018 - Melbourne, Australia
Duration: Jul 19 2018 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

ConferenceACL 2018 Workshop on Deep Learning Approaches for Low-Resource Natural Language Porcessing, DeepLo 2018
Country/TerritoryAustralia
CityMelbourne
Period7/19/18 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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